Projects

  1. summary image

    Depth Coefficients for Depth Completion

    Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris

    Depth completion involves estimating a dense depth image from sparse depth measurements, often guided by a color image. While linear upsampling is straight forward, it results in artifacts including depth pixels being interpolated in empty space across discontinuities between objects. Current methods use deep networks to upsample and "complete" the ...

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    Keywords: Depth Completion, 3D Object Detection

Publications

2019

  • Depth Coefficients for Depth Completion
    Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jan. 2019
    Bibtex | PDF | arXiv | Poster | Project Webpage
  • @inproceedings{ depth-coefficients-for-depth-completion,
      author = { Saif Imran and Yunfei Long and Xiaoming Liu and Daniel Morris },
      title = { Depth Coefficients for Depth Completion },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Long Beach, CA },
      month = { January },
      year = { 2019 },
    }

2016

  • Multi-modality Imagery Database for Plant Phenotyping
    Jeffrey Cruz, Xi Yin, Xiaoming Liu, Saif Imran, Daniel Morris, David Kramer, Jin Chen
    Machine Vision and Applications, Vol. 7, pp.1-15, , Jul. 2016 (equal contribution by first two authors)
    Bibtex | PDF | Project Webpage
  • @article{ multi-modality-imagery-database-for-plant-phenotyping,
      author = { Jeffrey Cruz and Xi Yin and Xiaoming Liu and Saif Imran and Daniel Morris and David Kramer and Jin Chen },
      title = { Multi-modality Imagery Database for Plant Phenotyping },
      journal = { Machine Vision and Applications },
      volume = { 7 },
      month = { July },
      year = { 2016 },
      pages = { 1--15 },
    }